منابع مشابه
OCR for Mobile Phones
Lighting, camera resolution and focus, skew (shear), and processing power all contribute to the difficulties in developing effective OCR applications using mobile phones. We propose a novel algorithm using PCA, divergence, and a global neural network to develop an OCR package that levers user-specific parameters with a neural network trained on an extended data set.
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In literature, many feature types and learning algorithms are proposed for document classiication. However , an extensive and systematic evaluation of the various approaches has not been done yet. In order to investigate diierent text representations for document classiication, we have developed a tool which transforms documents into feature-value representations suitable for standard learning ...
متن کاملCamera Document Restoration for OCR
As camera resolution increases, high-speed noncontact text capture through a digital camera is opening up a new channel for text capture and understanding. Unfortunately, the skew, perspective, and geometric distortions coupled within the captured images make it hard to recognize the document text using the generic OCR systems. In this paper, we propose a document restoration technique, which i...
متن کاملEvaluation Framework for Video OCR
In this work, we present a recently developed evaluation framework for video OCR specifically for English Text but could well be generalized for other languages as well. Earlier works include the development of an evaluation strategy for text detection and tracking in video, this work is a natural extension. We sucessfully port and use the ASR metrics used in the speech community here in the vi...
متن کاملInteraction for style-constrained OCR
The error rate can be considerably reduced on a style-consistent document if its style is identified and the right style-specific classifier is used. Since in some applications both machines and humans have difficulty in identifying the style, we propose a strategy to improve the accuracy of style-constrained classification by enlisting the human operator to identify the labels of some characte...
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ژورنال
عنوان ژورنال: Aptisi Transactions On Technopreneurship (ATT)
سال: 2020
ISSN: 2656-8888,2655-8807
DOI: 10.34306/att.v2i2.87